Technical Account Manager

• The Technical Account Manager (TAM) is a key member of webAI’s Industrial Business Development team, serving as a trusted technical advisor and solution strategist for a defined portfolio of strategic and growth industrial accounts across the Manufacturing, Energy, and Supply Chain sectors
• Partnering closely with Strategic, Regional, and Sales Account Managers, the TAM translates the customer’s business vision into a long-term technical strategy and AI solution roadmap, demonstrating how advanced Artificial Intelligence and edge computing solutions enable future success in large-scale manufacturing, energy systems, and supply chain operations
• This role requires both strategic foresight to align with executive-level business goals and the technical depth to influence system specifications, architect AI deployments, and guide solution delivery across complex, high-throughput industrial and logistics environments
• Build and Grow Partnerships: Establish relationships with key technical and operational decision-makers (e.g., CTOs, VPs of Engineering/IT, Chief Architects, Operations Leads) within Industrial End Users, Energy Providers, and Supply Chain Operators
• Executive Alignment: Represent webAI’s technical vision in executive discussions, ensuring alignment between overarching business outcomes and technical AI feasibility
• Account Strategy Integration: Collaborate with Sales Account Managers to define the technical dimensions of account plans, integrating commercial objectives with enterprise AI and advanced automation strategies across manufacturing, energy, and logistics operations
• Tailored AI Roadmaps: Develop multi-year technical roadmaps tailored to core industrial processes, including discrete/process manufacturing, energy grid/asset management, automated warehousing, quality inspection, predictive maintenance, and supply chain optimization
• Blueprint Adaptation: Adapt webAI solution blueprints to meet customer-specific operational requirements and industry compliance standards
• Forward-Looking Vision: Provide a forward-looking perspective on how AI, computer vision, edge deployment, and connected production and supply systems can evolve with the customer’s operations
• Market Intelligence: Maintain deep expertise in manufacturing, energy, and supply chain trends, operational innovations, competitive AI offerings, and relevant industrial standards
• Ecosystem Engagement: Understand the broader technical ecosystem of manufacturing operations, energy infrastructure, and supply chain networks
• Technical Leadership: Act as the lead technical orchestrator for specialized internal resources (AI solution architects, data engineers, product teams, delivery partners) to ensure solution designs align with the technical roadmap
• Feasibility & Retrofits: Provide feasibility assessments for AI model deployment, edge hardware integration, retrofit strategies, and industrial facility enhancements
• Cross-Functional Bridge: Bridge the gap between Sales, Presales, Product Development, Delivery, and delivery partners during strategic engagements
• Demos & Proofs of Concept: Lead technical presentations, workshops, and proof-of-concept (PoC) initiatives to validate solution viability, performance, scalability, and integration into existing workflows
• Value Communication: Translate complex AI and data-driven concepts into clear, outcome-oriented proposals tailored for engineering, IT, and C-suite stakeholders
• Embed webAI Technology: Drive influenced business by specifying webAI’s platform and models into manufacturing, energy management infrastructure, and supply chain automation pipelines
• Early Program Engagement: Identify opportunities for early engagement in large-scale expansion programs, energy modernization initiatives, greenfield and brownfield facilities, or global supply chain optimizations
• Long-Term Value Creation: Enable sustained customer value through scalable AI integration, lifecycle support, and continuous optimization
• We at webAI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following:
• Truth - Emphasizing transparency and honesty in every interaction and decision
• Ownership - Taking full responsibility for one’s actions and decisions, demonstrating commitment to the success of our clients
• Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement
• Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others

Benefits

• Grow with us: Equity options so you share in our growth. Build your future as we build ours.
• Family first: Parental leave and fertility support for every stage of life. Your family matters here.
• Plan your future: A 401(k) to help you save and invest. Secure what’s ahead with confidence.
• Stay well: Comprehensive health coverage for body and mind. Because balance fuels great work.
• Keep learning: A stipend to explore, study, and sharpen your skills. Growth never stops.
• Work anywhere: Remote-first with flexible time off to recharge. Find balance wherever you are.

• Technical Knowledge: Solid understanding of industrial and supply chain systems (e.g., PLCs, edge computing, network architectures, sensor networks, SCADA, MES, WMS/TMS systems) and proven ability to translate complex operational needs into technical AI solutions
• Travel: Ability to travel up to 30% domestically (with occasional international travel)
• Education: Bachelor’s degree in Engineering, Computer Science, Data Science, Manufacturing Technology, or a related field (or equivalent practical experience)
• Experience: 8+ years in account management, solution engineering, technical account management, or technical sales within manufacturing, energy, supply chain, or industrial enterprise software
• Deep Sector Experience: 10+ years in technical account management or solution architecture within manufacturing, energy, or supply chain management
• AI & Integration Expertise: Hands-on experience with industrial AI/ML deployment, computer vision implementations, edge AI runtime environments, and large-scale AI deployment projects across industrial domains
• Advanced Degree & Certifications: Master’s degree in Engineering, Computer Science, Supply Chain Engineering, or Business; relevant industry certifications (e.g., PMP, AI/Cloud certifications) are a plus